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Beihong Ji

Showing results (11-20 of 34) with videos related to

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ACS Chemical Neuroscience|October 12, 2023
Discovery of Potent and Selective CB2 Agonists Utilizing a Function-Based Computational Screening ProtocolHaixia Ge, Beihong Ji, Jiahui Fang, et al.
Briefings in Bioinformatics|March 24, 2021
Machine learning on ligand-residue interaction profiles to significantly improve binding affinity predictionBeihong Ji, Xibing He, Jingchen Zhai, et al.
Physical Chemistry Chemical Physics : PCCP|October 17, 2019
New application of in silico methods in identifying mechanisms of action and key components of anti-cancer herbal formulation YIV-906 (PHY906)Shuhan Liu, Xibing He, Viet Hoang Man, et al.
Briefings in Bioinformatics|May 20, 2021
In silico binding profile characterization of SARS-CoV-2 spike protein and its mutants bound to human ACE2 receptorYuzhao Zhang, Xibing He, Jingchen Zhai, et al.
ACS Chemical Neuroscience|October 30, 2019
Molecular Mechanism and Kinetics of Amyloid-β<sub>42</sub> Aggregate Formation: A Simulation StudyViet Hoang Man, Xibing He, Beihong Ji, et al.
Artificial Intelligence Chemistry|December 13, 2023
Predicting anti-SARS-CoV-2 activities of chemical compounds using machine learning modelsBeihong Ji, Yuhui Wu, Elena N Thomas, et al.
ACS Chemical Neuroscience|March 21, 2020
Prediction of the Binding Affinities and Selectivity for CB1 and CB2 Ligands Using Homology Modeling, Molecular Docking, Molecular Dynamics Simulations, and MM-PBSA Binding Free Energy CalculationsBeihong Ji, Shuhan Liu, Xibing He, et al.
Journal of Chemical Theory and Computation|April 21, 2020
Introducing Virtual Oligomerization Inhibition to Identify Potent Inhibitors of Aβ OligomerizationViet Hoang Man, Xibing He, Beihong Ji, et al.
CPT: Pharmacometrics & Systems Pharmacology|February 14, 2025
Intranasal diamorphine population pharmacokinetics modeling and simulation in pediatric breakthrough painLianjin Cai, Jingchen Zhai, Beihong Ji, et al.
Journal of Cheminformatics|February 16, 2021
Incorporating structural similarity into a scoring function to enhance the prediction of binding affinitiesBeihong Ji, Xibing He, Yuzhao Zhang, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
ACS Chemical Neuroscience|October 12, 2023
Discovery of Potent and Selective CB2 Agonists Utilizing a Function-Based Computational Screening ProtocolHaixia Ge, Beihong Ji, Jiahui Fang, et al.
Briefings in Bioinformatics|March 24, 2021
Machine learning on ligand-residue interaction profiles to significantly improve binding affinity predictionBeihong Ji, Xibing He, Jingchen Zhai, et al.
Physical Chemistry Chemical Physics : PCCP|October 17, 2019
New application of in silico methods in identifying mechanisms of action and key components of anti-cancer herbal formulation YIV-906 (PHY906)Shuhan Liu, Xibing He, Viet Hoang Man, et al.
Briefings in Bioinformatics|May 20, 2021
In silico binding profile characterization of SARS-CoV-2 spike protein and its mutants bound to human ACE2 receptorYuzhao Zhang, Xibing He, Jingchen Zhai, et al.
ACS Chemical Neuroscience|October 30, 2019
Molecular Mechanism and Kinetics of Amyloid-β<sub>42</sub> Aggregate Formation: A Simulation StudyViet Hoang Man, Xibing He, Beihong Ji, et al.
Artificial Intelligence Chemistry|December 13, 2023
Predicting anti-SARS-CoV-2 activities of chemical compounds using machine learning modelsBeihong Ji, Yuhui Wu, Elena N Thomas, et al.
ACS Chemical Neuroscience|March 21, 2020
Prediction of the Binding Affinities and Selectivity for CB1 and CB2 Ligands Using Homology Modeling, Molecular Docking, Molecular Dynamics Simulations, and MM-PBSA Binding Free Energy CalculationsBeihong Ji, Shuhan Liu, Xibing He, et al.
Journal of Chemical Theory and Computation|April 21, 2020
Introducing Virtual Oligomerization Inhibition to Identify Potent Inhibitors of Aβ OligomerizationViet Hoang Man, Xibing He, Beihong Ji, et al.
CPT: Pharmacometrics & Systems Pharmacology|February 14, 2025
Intranasal diamorphine population pharmacokinetics modeling and simulation in pediatric breakthrough painLianjin Cai, Jingchen Zhai, Beihong Ji, et al.
Journal of Cheminformatics|February 16, 2021
Incorporating structural similarity into a scoring function to enhance the prediction of binding affinitiesBeihong Ji, Xibing He, Yuzhao Zhang, et al.
Pageof 4